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Senior AI/ML Engineer Lead
1 month ago
We are seeking a highly experienced Senior AI/ML Engineer Lead to join our team at Orange Business Services.
As a key member of our Chief Technology Information Office, you will be responsible for designing, developing, and deploying machine learning models that meet business needs and deliver measurable impact.
You will manage the end-to-end lifecycle of AI/ML models, including data gathering, feature engineering, model training, testing, and deployment. You will collaborate with data engineers, product managers, and business stakeholders to understand project requirements and deliver impactful solutions.
The ideal candidate will have 6+ years of experience in data science/machine learning, with at least 2 years as a Senior Data Scientist/ML Engineer. You will have strong knowledge of machine learning algorithms, model evaluation metrics, and best practices for model deployment.
Additionally, you will have proficiency in Python used in data science and ML, familiarity with big data technologies and cloud services, and working knowledge of a variety of machine learning techniques and concepts.
The salary for this role is estimated to be around $140,000 - $160,000 per year, depending on location and experience.
About YouTo be successful in this role, you will need to have:
- Bachelor's/PG degree in Engineering, Computer Science, Data Science, Statistics or a related field with a focus on analytics skills.
- Proven experience leading end-to-end machine learning projects, from conceptualization to deployment.
- Strong knowledge of machine learning algorithms, model evaluation metrics, and best practices for model deployment.
- Proficiency in Python used in data science and ML. Familiarity with big data technologies and cloud services.
- Working knowledge of a variety of machine learning techniques and concepts (regression, time series, classification, Ensemble modeling, Gradient Boosting, stacking, clustering, decision trees, Neural Networks, image/text processing/NLP, AI, XAI, Transformers/LLM/GenAI and RAG etc.).
- Solid understanding of statistical analysis, data mining, and data visualization techniques.
- Good to have experience with MLOps practices to ensure the smooth operation of models in production.
- Hands-on experience with machine learning libraries (TensorFlow, PyTorch, Scikit-learn, pretrained ML models, Transformers, RAG), and advanced SQL.
- Ability to tackle complex problems, break them down into actionable steps, and deliver practical solutions.
- Excellent verbal and written communication skills, with the ability to translate complex data insights into clear and actionable recommendations.
- Understanding of how to align machine learning and AI solutions with business goals.
- Ability to work cross-functionally with teams across engineering, product, and business domains.
Our team at Orange Business Services manages and integrates the complexity of international communications, freeing our customers to focus on the strategic initiatives that drive their business. We offer a regular contract and estimate the salary for this role to be around $140,000 - $160,000 per year, depending on location and experience.